Quantum Machine Learning
4,297 papers
Quantum Machine Learning Research Context
This category covers quantum machine learning research, including quantum kernels, variational classifiers, hybrid learning systems, generative models, and QML benchmarks.
Showing 901-912 of 4,297
Neural network decoder confidence as a learned proxy for the logical gap
David Dentelski
Neural network inverse design of nanophotonic scintillators
Nathan Regev, Avner Shultzman, Francis Loignon-Houle, Charles Roques-Carmes, Ido Kaminer
Neural Network Quantum Monte Carlo Benchmark of Charge Symmetry Breaking in <i>A</i> = 3 − 7 Nuclei
H. Sadeghi, R. Ghorbani, H. Khalili
Neural QAOA$^{2}$: Differentiable Joint Graph Partitioning and Parameter Initialization for Quantum Combinatorial Optimization
Zubin Zheng, Jiahao Wu, Shengcai Liu
Neural Quantum States Based on Selected Configurations
Marco Julian Solanki, Lexin Ding, Markus Reiher
Neural Quantum States in Mixed Precision
Massimo Solinas, Agnes Valenti, Nawaf Bou-Rabee, Roeland Wiersema
Neural quantum support vector data description for one-class classification
Changjae Im, Hyeondo Oh, Daniel K. Park
New class of exactly flat topological bands - compact localised states protected by local graph topology
Tamaghna Hazra
Next-generation nano-biosensors for hepatocellular carcinoma.
Abuhassan Q, Saleh K, Roopashree R, Kanwar JB, Sudhakar T, Sharma V, Chauhan AS, Khaitova S
No Reference-Free Generalization in Quantum Machine Learning
Jeongho Bang
No Tile Left Behind: Multiprogramming for Surface-Code Architectures
Archisman Ghosh, Avimita Chatterjee, Swaroop Ghosh
Noise and Bandwidth Performance Optimization for Readout Electronics of DC Superconducting Quantum Interference Device
Yang Shao, Shandong Li, Fuqing Shang, Zhengyu Wang, Quanming Gao